{"id":"W7116047141","doi":"10.1016/j.jacadv.2025.102459","title":"Dapagliflozin in Acute Cardiovascular Conditions","year":2025,"lang":"en","type":"article","venue":"JACC Advances","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministério da Saúde","keywords":"Dapagliflozin; Intensive care unit; Vasoactive; Diuretic; Critically ill; Critical illness","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002858205,0.0002545968,0.0008142894,0.0004241976,0.0001477993,0.0004550594,0.0002436695,0.0002913706,0.001837855],"category_scores_gemma":[0.005018566,0.0001510195,0.0009919996,0.0005121971,0.0001817221,0.0002020225,0.0004240785,0.0008464028,0.0001369956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004960643,"about_ca_system_score_gemma":0.0007032847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008500115,"about_ca_topic_score_gemma":0.001080664,"domain_scores_codex":[0.9982161,0.0009798538,0.0001944451,0.0001680485,0.0003331333,0.0001083089],"domain_scores_gemma":[0.9963015,0.002200083,0.0009249647,0.0001199787,0.0002087227,0.0002447539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07498045,0.001548118,0.4695909,0.005647463,0.01251458,0.0003895059,0.000101814,0.005169439,0.002917764,0.001550701,0.01315283,0.4124364],"study_design_scores_gemma":[0.02157156,0.01447411,0.9154551,0.001217615,0.008286599,0.0008030242,0.00006925971,0.01446101,0.002122673,0.003807414,0.01769152,0.00004007978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587089,0.1164865,0.006008622,0.003940449,0.0007663119,0.0005331485,0.003396345,0.0001451902,0.01001451],"genre_scores_gemma":[0.9860976,0.009114149,0.00152225,0.0008690722,0.0004282546,0.0001801083,0.001240925,0.000006096234,0.0005416139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002858205,"threshold_uncertainty_score":0.0151158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006991622373244661,"score_gpt":0.2888723739142308,"score_spread":0.2818807515409861,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}